Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm

Jorge Hernandez-Ambato; Betty Tacuri-Sanchez; Ramiro Isa-Jara; Victor Herrera-Perez

doi:10.1007/978-3-032-16851-1_17

Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm

Jorge Hernandez-Ambato
, Betty Tacuri-Sanchez
, Ramiro Isa-Jara
, Victor Herrera-Perez^*

^*Corresponding author for this work

Escuela Superior Politécnica de Chimborazo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.

Original language	English
Title of host publication	Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers
Editors	Teresa Guarda, Filipe Portela, Maria Fernanda Augusto
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	237-251
Number of pages	15
ISBN (Print)	9783032168504
DOIs	https://doi.org/10.1007/978-3-032-16851-1_17
State	Published - 2026
Event	Workshops of the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2025 - Cartagena de Indias, Colombia Duration: 21 Oct 2025 → 23 Oct 2025

Publication series

Name	Communications in Computer and Information Science
Volume	2792 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	Workshops of the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2025
Country/Territory	Colombia
City	Cartagena de Indias
Period	21/10/25 → 23/10/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery energy storage system
Particle Swarm Optimization
hybrid energy
solar energy
wind energy

Access to Document

10.1007/978-3-032-16851-1_17

Cite this

Hernandez-Ambato, J., Tacuri-Sanchez, B., Isa-Jara, R., & Herrera-Perez, V. (2026). Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. In T. Guarda, F. Portela, & M. F. Augusto (Eds.), Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers (pp. 237-251). (Communications in Computer and Information Science; Vol. 2792 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-16851-1_17

Hernandez-Ambato, Jorge ; Tacuri-Sanchez, Betty ; Isa-Jara, Ramiro et al. / Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. editor / Teresa Guarda ; Filipe Portela ; Maria Fernanda Augusto. Springer Science and Business Media Deutschland GmbH, 2026. pp. 237-251 (Communications in Computer and Information Science).

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abstract = "This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.",

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author = "Jorge Hernandez-Ambato and Betty Tacuri-Sanchez and Ramiro Isa-Jara and Victor Herrera-Perez",

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Hernandez-Ambato, J, Tacuri-Sanchez, B, Isa-Jara, R & Herrera-Perez, V 2026, Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. in T Guarda, F Portela & MF Augusto (eds), Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. Communications in Computer and Information Science, vol. 2792 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 237-251, Workshops of the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2025, Cartagena de Indias, Colombia, 21/10/25. https://doi.org/10.1007/978-3-032-16851-1_17

Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. / Hernandez-Ambato, Jorge; Tacuri-Sanchez, Betty; Isa-Jara, Ramiro et al.
Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. ed. / Teresa Guarda; Filipe Portela; Maria Fernanda Augusto. Springer Science and Business Media Deutschland GmbH, 2026. p. 237-251 (Communications in Computer and Information Science; Vol. 2792 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm

AU - Hernandez-Ambato, Jorge

AU - Tacuri-Sanchez, Betty

AU - Isa-Jara, Ramiro

AU - Herrera-Perez, Victor

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.

AB - This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to optimize the configuration of photovoltaic (PV) panels, wind turbines (WT), and battery energy storage systems (BESS) to meet an average power demand. Detailed electrical and mathematical models of PV generation, WT systems, and energy storage are developed and integrated into the optimization framework. The study utilizes solar irradiance and wind speed data from two locations in Ecuador: Aromo and Arenal, considering two specific hardware configurations. The optimization results were statistically validated through 30 simulation runs for each location and proposed scenarios. Subsequently, the optimized configurations were evaluated using the complete power demand profile. The final results provide optimized solutions to minimize implementation costs or power losses, depending on available energy resources and hardware configurations.

KW - Battery energy storage system

KW - Particle Swarm Optimization

KW - hybrid energy

KW - solar energy

KW - wind energy

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DO - 10.1007/978-3-032-16851-1_17

M3 - Contribución a la conferencia

AN - SCOPUS:105031126091

SN - 9783032168504

T3 - Communications in Computer and Information Science

SP - 237

EP - 251

BT - Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers

A2 - Guarda, Teresa

A2 - Portela, Filipe

A2 - Augusto, Maria Fernanda

PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 21 October 2025 through 23 October 2025

ER -

Hernandez-Ambato J, Tacuri-Sanchez B, Isa-Jara R, Herrera-Perez V. Sizing Optimization of Off-Grid Solar-Wind Based Energy Generation Systems in Ecuador Considering Techno-Economic Constraints on a PSO Algorithm. In Guarda T, Portela F, Augusto MF, editors, Advanced Research in Technologies, Information, Innovation and Sustainability - ARTIIS 2025, International Workshops, Cartagena de Indias, Colombia, October 21–23, 2025, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2026. p. 237-251. (Communications in Computer and Information Science). doi: 10.1007/978-3-032-16851-1_17